[HTML][HTML] A review on cooperative perception and control supported infrastructure-vehicle system

G Yu, H Li, Y Wang, P Chen, B Zhou - Green Energy and Intelligent …, 2022 - Elsevier
With the rapid development of connected autonomous vehicles (CAVs), both road
infrastructure and transport are experiencing a profound transformation. In recent years, the …

Machine Learning in Metaverse Security: Current Solutions and Future Challenges

Y Otoum, N Gottimukkala, N Kumar, A Nayak - ACM Computing Surveys, 2024 - dl.acm.org
The Metaverse, positioned as the next frontier of the Internet, has the ambition to forge a
virtual shared realm characterized by immersion, hyper-spatiotemporal dynamics, and self …

Improved collision risk assessment for autonomous vehicles at on-ramp merging areas

MS Sheikh, Y Peng - IEEE Access, 2023 - ieeexplore.ieee.org
Unsafe lane-changing maneuvers contribute to accidents and merging conflicts due to
variations in traffic states and driver behaviors at on-ramp merging areas. Connected and …

How to guarantee driving safety for autonomous vehicles in a real-world environment: a perspective on self-evolution mechanisms

S Yang, Y Huang, L Li, S Feng, X Na… - IEEE Intelligent …, 2024 - ieeexplore.ieee.org
A succession of accidents shows that production vehicles with autonomous driving systems
do not work safely in real-world environments, especially when facing unseen scenarios …

Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles

L Forneris, A Pighetti… - International …, 2023 - journal.seriousgamessociety.org
We propose a new, hierarchical architecture for behavioral planning of vehicle models
usable as realistic non-player vehicles in serious games related to traffic and driving. These …

Ethical Artificial Intelligence in Smart Mobility Technologies: Autonomous Driving Algorithms, Geospatial Data Mining Tools, and Ambient Sound Recognition Software

RŞ Balica, AC Cuţitoi - Contemporary Readings in Law and Social …, 2022 - ceeol.com
In this article, we cumulate previous research findings indicating that smart transportation
networks deploy route planning and visual perception algorithms, predictive urban analytics …

An improved adaptive service function chain mapping method based on deep reinforcement learning

W Huang, S Li, S Wang, H Li - Electronics, 2023 - mdpi.com
With the vigorous development of the network functions virtualization (NFV), service function
chain (SFC) resource management, which aims to provide users with diversified customized …

A planning control strategy based on dynamic safer buffer to avoid traffic collisions in an emergency for CAVs at nonsignalized intersections

J Li, X Liu, M Xiao, G Lu - Journal of transportation engineering, Part …, 2023 - ascelibrary.org
Intelligent traffic control at nonsignalized intersections under a connected and automated
vehicle (CAV) environment can reduce traffic congestion, vehicle emissions [eg, carbon …

[PDF][PDF] Perception Enhanced Deep Deterministic Policy Gradient for Autonomous Driving in Complex Scenarios.

L Liao, H Xiao, P Xing, Z Gan, Y He… - … -Computer Modeling in …, 2024 - cdn.techscience.cn
Autonomous driving has witnessed rapid advancement; however, ensuring safe and efficient
driving in intricate scenarios remains a critical challenge. In particular, traffic roundabouts …

Multi-Agent Collision Avoidance System Based on Centralization and Decentralization Control for UAV Applications

DFS De Sá, JVDF Neto - IEEE Access, 2023 - ieeexplore.ieee.org
A collision avoidance method for multi-agent systems based on the centralization and
decentralization effects for cooperative control is presented in this article. In this context, a …